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Senior Director Delivery; Mining - Business Digital Transformation

Job in 500001, Hyderabad, Telangana, India
Listing for: Cyient
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Job Description & How to Apply Below
Position: Senior Director Delivery (Mining - Business Digital Transformation )
Role Brief
The Senior Director - Delivery for Mining Business Digital Transformation & Global Delivery is a strategic leadership role responsible for overseeing end-to-end delivery of large-scale digital transformation programs in the mining domain. This role serves as the nexus between customer engagement, technical delivery, P&L management, and talent leadership. The incumbent will drive the adoption of Data, AI/ML, and automation technologies across mining operations from exploration and ore processing to logistics and safety, while ensuring excellence in delivery quality, margin performance, and customer satisfaction.

KEY RESPONSIBILITIES
1. Digital Transformation & Mining Domain Leadership
Architect and lead end-to-end digital transformation roadmaps for mining clients covering exploration, mine planning, ore processing, tailings management, and logistics optimization.
Drive adoption of AI/ML, predictive analytics, IoT sensor integration, and digital twin technologies across mining assets.
Establish Cyient as a trusted technology partner for mining clients seeking to transform operations through intelligent automation and data-driven decision-making.
Provide deep domain expertise in mining processes, safety, and regulatory compliance to guide technical solutioning.
Lead initiatives in process automation including autonomous haul truck management, conveyor optimization, predictive maintenance, and blast design automation.
2. Data Engineering & AI Project Delivery
Oversee delivery of complex Data and AI engagements including enterprise data platforms, real-time analytics pipelines, machine learning model deployment, and GenAI applications for mining operations.
Ensure robust architecture governance across cloud-native data ecosystems, data lakes, and streaming architectures using Kafka, Spark, and Databricks.
Drive project execution using Agile and SAFe frameworks, ensuring on-time, on-budget, and on-quality delivery of multi-million dollar programs.
Lead technical reviews, milestone gates, and delivery risk identification across all active mining digital programs.
Champion the use of MLOps, Data Ops, and AI governance practices across all delivery teams.
3. Global Delivery Management
Lead and manage global delivery operations across distributed teams in India, US, Europe, and Australia, ensuring seamless collaboration across time zones.
Define and enforce delivery governance frameworks, KPIs, SLAs, and escalation protocols across all accounts.
Manage program portfolio across 10+ concurrent delivery tracks, balancing priorities, resource utilization, and risk exposure.
Drive continuous improvement in delivery efficiency, quality metrics, and operational excellence through data-driven insights.
Partner with PMO to institutionalize best practices in estimation, planning, and execution tracking.
4. Customer Engagement & Relationship Management
Serve as the executive sponsor and primary delivery point of contact for key mining clients globally including Tier-1 miners, diversified majors, and mid-tier operators.
Build and sustain CXO-level relationships with customer stakeholders including CDOs, CIOs, VPs of Operations, and Mine General Managers.
Lead Quarterly Business Reviews, executive steering committees, and strategic alignment workshops with clients.
Identify and drive account growth opportunities through value-led conversations, translating client pain points into new service lines.
Ensure high CSAT scores by proactively managing customer expectations, resolving escalations, and demonstrating measurable business outcomes.
5. People Management & Talent Development
Build, mentor, and lead a high-performance team of 150 to 300 professionals across Data Engineering, AI/ML, Cloud, and Mining domain functions.
Define competency frameworks, career ladders, and skill acceleration plans for AI and Data Engineering practitioners in the mining vertical.
Partner with Talent Acquisition and Learning & Development to design hiring pipelines and upskilling programs for next-generation capabilities.
Drive a culture of innovation, accountability, and psychological safety across delivery teams.
Conduct structured performance…
Position Requirements
10+ Years work experience
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